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Field
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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of Excellence for Data-Driven Discovery, applying advanced computational techniques to develop novel therapeutics. This position will work closely with researchers in the Center of Excellence for Data Driven
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, it has matured into an established research community seeking automatic, computerized processing of 3D geometric data obtained through measurements or designs. The following developments have shaped
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storytelling skills to produce videos that resonate with diverse audiences across multiple platforms. He/She will need to work closely with different stakeholders across NBS to achieve the intended impact for
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software projects, including defining roadmaps, managing implementation of new features, and coordinating multiple developers. Experience working in an academic research environment, particularly quantum
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classes on embedded systems programming. Professional Development • Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve
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combination of statistical, quantitative and qualitative methods. Extracts, manipulates, and interprets data using statistical software (E.g., SPSS, R) and SQL-based query applications (e.g., Cognos) Develops
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to open-source libraries and publications in relevant journals or conferences are highly valued. Experience participating in multiple software development projects simultaneously, ensuring timely delivery
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multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence